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    NIPS
    2003
    140views Information Technology» more  NIPS 2003»
    Gene Expression Clustering with Functional Mixture Models
    13 years 9 months ago
    Gene Expression Clustering with Functional Mixture Models
    Download  books.nips.cc
    We propose a functional mixture model for simultaneous clustering and alignment of sets of curves measured on a discrete time grid. The model is specifically tailored to gene exp...
    Darya Chudova, Christopher E. Hart, Eric Mjolsness...
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    TCSV
    2010
    171views Computational Biology» more  TCSV 2010»
    Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
    13 years 2 months ago
    Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
    Download  www.comp.lancs.ac.uk
    Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
    Harish Bhaskar, Lyudmila Mihaylova, Alin Achim
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    INFOCOM
    2009
    IEEE
    225views Communications» more  INFOCOM 2009»
    Robust Event Boundary Detection in Sensor Networks - A Mixture Model Based Approach
    14 years 2 months ago
    Robust Event Boundary Detection in Sensor Networks - A Mixture Model Based Approach
    Download  www.seas.gwu.edu
    —Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
    Min Ding, Xiuzhen Cheng
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    ICASSP
    2009
    IEEE
    218views Signal Processing» more  ICASSP 2009»
    Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
    13 years 12 months ago
    Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
    Download  www.irisa.fr
    We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
    Alexey Ozerov, Cédric Févotte
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    ICIP
    2009
    IEEE
    135views Image Processing» more  ICIP 2009»
    Random swap EM algorithm for finite mixture models in image segmentation
    13 years 5 months ago
    Random swap EM algorithm for finite mixture models in image segmentation
    Download  cs.joensuu.fi
    The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
    Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
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